Find & Apply For Logistics / Supply Chain Analyst Jobs In Durham, North Carolina
Logistics / Supply Chain Analyst jobs in Durham, North Carolina involve analyzing supply chain data, optimizing distribution processes, and identifying cost-saving opportunities. Analysts collaborate with cross-functional teams to ensure efficient product flow and timely delivery. Strong analytical skills and attention to detail are essential for success in this role. Below you can find different Logistics / Supply Chain Analyst positions in Durham, North Carolina.
Jobs in Durham
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Inventory Control Analyst
Intuitive
Durham, NC
Analyst I, Materials Planning (RTP Local Candidates Only)
United Therapeutics Corporation
Durham, NC
Business Analyst -Supply Chain Performance
UNC Health
Durham, NC
SAP Business Process Expert
HRU Technical Resources
Durham, NC
Latest Jobs in Durham
Salary Information & Job Trends In this Region
Logistics / Supply Chain Analysts in Durham, North Carolina play a crucial role in managing the movement of goods and materials within the supply chain. - Entry-level Logistics Analyst salaries range from $45,000 to $55,000 per year - Mid-career Supply Chain Analyst salaries range from $55,000 to $75,000 per year - Senior-level Logistics Manager salaries range from $75,000 to $95,000 per year The role of Logistics / Supply Chain Analysts in Durham, North Carolina has a rich history dating back to the industrial revolution when companies first began to streamline their operations and optimize their supply chains. Over time, the role of Logistics / Supply Chain Analysts in Durham, North Carolina has evolved to incorporate advanced technology, data analytics, and strategic planning to ensure efficient and cost-effective supply chain management. Current trends in the field of Logistics / Supply Chain Analysis in Durham, North Carolina include a focus on sustainability, risk management, and the integration of artificial intelligence and machine learning technologies to enhance decision-making processes.
